Developers

There is a new Azure PowerShell module, built to harness the power of PowerShell Core and Cloud Shell, and maintain compatibility with PowerShell 5.1. Its name is Az.

Development and deployment of Ethereum based applications, commonly referred to as DApps, can be a challenging task for developers.

This week at IoT Solutions World Congress, we look forward to connecting with companies across industries and inspiring them with new possibilities for IoT, from creating Digital Twins of physical environments to taking advantage of Vision and AI on edge devices.

I’m pleased to announce that Microsoft is joining the Open Invention Network (“OIN”), a community dedicated to protecting Linux and other open source software programs from patent risk.

Combining biometric identification with artificial intelligence (AI) enables banks to take a new approach to verifying the digital identity of their prospects and customers.

A single Azure function is all it took to fully implement an end-to-end, real-time, mission critical data pipeline. And it was done with a serverless architecture. Serverless architectures simplify the building, deployment, and management of cloud scale applications.

The team at GoChain is bringing their private, scalable blockchain offering to Microsoft Azure. GoChain is a blockchain based on Ethereum, which changes to protocol and consensus model primarily to increase the transaction speed of the network.

Today, we are excited to announce the general availability (GA) of Azure Database for MySQL and Azure Database for PostgreSQL for Azure Government customers. With this GA milestone, government agencies and their partners have even more options as they work to advance their missions.

Organizations around the world are gearing up for a future powered by data, cloud, and Artificial Intelligence.

#FuelMyAwesome is back to celebrate developers like you, and we want to hear about all the things that make you tick and keep you inspired.

In the past two years since PyTorch’s first release in October 2016, we’ve witnessed the rapid and organic adoption of the deep learning framework among academia, industry, and the AI community at large.

Insurance companies that sell life, health, and property and casualty insurance are using machine learning (ML) to drive improvements in customer service, fraud detection, and operational efficiency.